scholarly journals Investigating the Factors Affecting the Intention to Use E-Learning from the Viewpoint of Higher Education Students

2019 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Fatemeh Makkizadeh ◽  
Alireza Afshani
Keyword(s):  
Higher Education ◽  
Intention To Use ◽  
Education Students ◽  
Factors Affecting ◽  
E Learning

E-LEARNING DIDACTIC SUPPORT IN TEACHING FOREIGN LANGUAGES OF HIGHER EDUCATION STUDENTS

2017 ◽  
Vol 73 (5) ◽  
Author(s):  
Shaykina Olga Igorevna ◽  
Proskura O. V. ◽  
Dakukina T. A
Keyword(s):  
Higher Education ◽  
Foreign Languages ◽  
Education Students ◽  
E Learning

scholarly journals Teaching and Learning in Higher Education: E-Learning as a Tool

2019 ◽  
Vol 9 (1) ◽  
pp. 458-463 ◽  
Keyword(s):  
Higher Education ◽  
Teaching And Learning ◽  
The Internet ◽  
Full Time ◽  
Online Classes ◽  
New Paradigm ◽  
Education Students ◽  
Communication Tools ◽  
Modern Education ◽  
E Learning

Recently, the market of E-Learning is soaring and is known as a new paradigm in modern education. E-Learning acts as a medium, consisting of several types of computers and electronic media that are communication tools as well as the Internet, which provides training and informative access on certain subjects. By using E-Learning students can attend online classes anywhere, regardless of time and place. Generally, E-Learning is more geared towards self-training and is ideal for individuals who work full-time but desire to further their studies. Thus, this study has been developed and integrated with factors leading towards the effectiveness of E-Learning as a tool in Teaching and Learning (T&L) approach. A quantitative approach was applied by using a self-administered distribution of questionnaire targeted at higher education students. Therefore, the outcomes of this research will help to provide insightful information to the current education system in Malaysia, particularly in crafting strategies to enhance the learning education for the country in general.

Is E-Learning a Pro-Active Response to, or Reaction to, Changes in Educational Policy and Patterns of Educational Demand?

2014 ◽  
pp. 253-267
Author(s):  
Allan M. Lawrence ◽  
Peter J. Short ◽  
Deborah Millar
Keyword(s):  
Higher Education ◽  
Educational Policy ◽  
Higher Education Institutions ◽  
Developed Countries ◽  
Quality Factors ◽  
Student Work ◽  
Factors Affecting ◽  
Educational Demand ◽  
E Learning ◽  
The Impact

This chapter reviews and investigates the models and acceptability of E-Learning to the emerging students markets for Higher Education Institutions (HEIs) from the More Developed Countries (MDCs) and seeks to evaluate the differing models of delivery from a practical and a socio-economic perspective. The research also investigates the impact of the shifts in population growth and the subsequent impact upon the levels of demand from students in Less Developed Countries (LDCs) for higher education. In addition, the logistical and quality factors affecting E-Learning are evaluated, looking at the aspects of academic rigour, plagiarism, and the methods of managing the originality and authenticity of student work. Similarly, the research looks at the viability of situations where the education provider may never physically meet the students through the exclusive use of VLEs, and the possible credibility issues that this may present to institutional and awarding body reputations.

Role of IT Culture in Learners' Acceptance of E-Learning

2019 ◽  
pp. 348-364
Author(s):  
James Wairimu ◽  
Susan Githua ◽  
Kenneth Kungu
Keyword(s):  
Higher Education ◽  
Social Influence ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Learning Intention ◽  
E Learning ◽  
It Culture ◽  
Facilitating Conditions ◽  
Role Of It

This chapter sought to explore factors that influence e-learning adoption and use among students in higher education in Kenya. Based on UTAUT model, the study proposes that performance expectancy, effort expectancy, social influence, and facilitating conditions will influence intention to use e-learning. Additionally, the role of IT culture is explored. Performance expectancy, social influence, facilitating conditions, and IT culture were significant in predicting intention to use e-learning. Intention to use significantly predicted usage. Implications for higher education are discussed.

Maturity Model for E-Learning Classroom, Bimodal and Virtual Courses in Higher Education

2017 ◽  
Vol 12 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Julia Espinoza-Guzmán ◽  
Marcela Georgina Gómez Zermeño
Keyword(s):  
Higher Education ◽  
Information And Communication Technologies ◽  
Substantial Contribution ◽  
Quality Of Education ◽  
Maturity Model ◽  
Factors Affecting ◽  
Virtual Courses ◽  
Information And Communication ◽  
E Learning

The use of information and communication technologies (ICT) in higher education, in many cases, does not necessarily correspond to an organizational, sustainable and consistent initiative in all courses or undergraduate programs imparted. An associated risk is wasting the potential of ICTs to contribute to the quality of education. This is an exploratory-descriptive, mixed methods investigation at Tecnológico de Costa Rica (TEC) to determine the components and factors affecting a Maturity Model (MM). Participants were students, teachers, and institution officials. Results show the components of a maturity model that provides teachers with a roadmap for implementing e-learning in face-to-face, bimodal and virtual courses, advocating for a substantial contribution to the quality of education at a Costa Rican University.

scholarly journals An Empirical Study of Students' Intention to Use Cloud E-Learning in Higher Education

2020 ◽  
Vol 15 (09) ◽  
pp. 19
Author(s):  
Lillian-Yee-Kiaw Wang ◽  
Sook-Ling Lew ◽  
Siong-Hoe Lau
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Social Cognitive ◽  
Target Population ◽  
Perceived Usefulness ◽  
Learning Object ◽  
Intention To Use ◽  
Is Success ◽  
Content Quality ◽  
E Learning

Technological progress has resulted in constant change of social structures and led to continuous evolution of attitudes and values. Thus, a timely and compre-hensive integrated technology acceptance framework was established, and factors predicting intention to use Cloud e-learning were empirically identified. A total of 11 determinants from varying sources of IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values were unified and analysed in an integrated manner. The target population for this study was a group of IT students in a private university in southern region Malaysia. The results obtained from this study observed that content quality, pedagogical quality, perceived usefulness, social influence, attainment value, and utility value significantly predict intention to use Cloud e-learning. By integrating IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values into a single framework, new insights on Cloud e-learning ac-ceptance in higher education can be attained.

scholarly journals Factors Affecting Students' Acceptance of e-Learning System in Higher Education

2020 ◽  
Vol 5 (2) ◽  
pp. 54-65
Author(s):  
Nurhafizah Ahmad ◽  
Norazah Umar Umar ◽  
Rozita Kadar ◽  
Jamal Othman
Keyword(s):  
Higher Education ◽  
Learning Style ◽  
Main Idea ◽  
Learning System ◽  
Independent Learning ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Effective Learning ◽  
Significant Relationships ◽  
E Learning

e-Learning has become the most important supporting tool offering independent learning style among students. The main idea of this paper is to dismantle and analyse factors that influence the acceptance of e-Learning among students in higher education.  An online questionnaire link was distributed to a sample comprising 123 respondents. Significant relationships and strength of relationship were observed between the e-Learning acceptance, quality, e-Learning self-efficacy, enjoyment, accessibility, and computer playfulness. The findings showed that all factors were positively correlated to the e-Learning system except the enjoyment of e-learning that did not affect the acceptance of e-learning. Conclusively, all factors stated were considered the main criteria in designing effective e-learning system. Future works such as embedding and integrating multimedia elements in the e-learning system will be additional attraction to learners and instructors for the effective learning style.

scholarly journals Emergency remote learning acceptance among higher education students during COVID-19 pandemic

2021 ◽  
Vol 39 (2) ◽  
pp. 325-347
Author(s):  
Amila Pilav-Velić ◽  
Hatidža Jahić ◽  
Jasmina Okičić ◽  
Jasmina Selimović ◽  
Elvedin Grabovica
Keyword(s):  
Higher Education ◽  
Digital Transformation ◽  
Education Students ◽  
Factors Affecting ◽  
Knowledge And Skills ◽  
Personal Innovativeness ◽  
Attitudes Towards Technology ◽  
New Learning ◽  
Technology Applications ◽  
Remote Learning

The current study investigates how attitudes towards digital transformation and personal innovativeness affect the acceptance of emergency remote learning in the COVID-19 pandemic environment. The pandemic has affected all aspects of societies across the globe, including higher education that was also a significant push-up factor for the digital transformation of higher education. Thus, the main aim of this paper is to investigate the factors affecting emergency remote learning acceptance among the higher education students in Bosnia and Herzegovina (BiH). The results presented in this paper gained from a study carried out among higher education students in BiH cover the period of April – July 2020 via the open-source platform. The study focused on the students’ attitude towards a digital transformation is a significant factor in accepting emergency remote learning. Also, the personal innovativeness score has proven to be a crucial factor for adopting this new learning setting, i.e., more innovative students have a greater emergency remote learning acceptance than students with a lower personal innovativeness score. Hence, this study pinpoints the necessity of changing the attitudes towards technology applications in education. It would increase the usage of remote learning services and provide students with knowledge and skills for the new labour market

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